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Location: Shanghai, China The mission At JetBrains, code is our passion. For over two decades, we’ve built tools that help developers create the software shaping the world. With over 15 million users and 88 of the Fortune Global 100 companies in our portfolio, our footprint is massive. We are now looking for a Senior Marketing Manager (B2B) to lead the next phase of our enterprise growth in Greater China. This isn't a traditional brand role – it’s a revenue-focused leadership position. Your goal is to move beyond lead generation and architect a high-precision account-based marketing (ABM) engine that drives meaningful revenue within strategic managed accounts Your core responsibilities Localize and execute the ABM strategy: Translate our global 1:1 and 1:few ABM frameworks into programs tailored to the diverse Chinese enterprise landscape. Build the ABM infrastructure: Identify and manage local B2B agencies and curate a MarTech stack that functions effectively within the constraints of the Chinese digital ecosystem. Lead a regional team: Manage, mentor, and empower a lean team of 2–3 regional marketers, transforming them into a high-performance unit focused on account penetration and sales alignment. Own revenue impact: Define and track marketing-influenced revenue and MROI , providing the global team with deep-dive insights into what makes the Chinese B2B buyer tick. Pilot and scale: Design and run local campaign pilots, documenting successful approaches so they can be scaled across other global markets. Act as a strategic liaison: Serve as the face of marketing to our local sales leadership and as the voice of Greater China to our Global B2B Lead, representing JetBrains as a senior spokesperson at industry events and executive briefings. What you bring to the table B2B expertise: You have at least eight years of marketing experience, with an emphasis on enterprise B2B . Proven ABM track record: You can demonstrate previous success running 1:1 and 1:few programs that expanded contract values or resulted in high-value renewals. Fluency in the Chinese tech market: You understand the local developer ecosystem, the role of WeChat in B2B, and how to navigate the specific procurement and decision-making cycles of Chinese enterprises. A data-driven mindset: You are comfortable and have solid experience working with CRM and attribution tools. Leadership and presence: You can command a room – whether it’s a strategy session with the Global Lead or a keynote at a developer conference. Languages: You possess native Mandarin and professional business English language skills. Preferred qualifications Experience in the software development life cycle (SDLC) or developer tooling space. A background in scaling marketing operations from manual processes to automated and system-driven execution. Experience working in a global, decentralized organization that requires balancing local autonomy with global brand standards. What it’s like to work at JetBrains Autonomy: We trust you to be the expert in your market. Global impact: Your successful pilots in China will influence how we do marketing in Berlin, San Francisco, and beyond. Growth and benefits: You will enjoy 25 days of paid vacation, supplementary medical insurance, and a generous budget for professional development (including global travel to tech conferences). Culture: JetBrains fosters a flexible, collaborative environment where results matter more than hierarchy. Ready to redefine B2B marketing for the world’s best developers? Let’s talk! #LI-EG1 We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. As a small team, we’re all generalists that work across the full stack (built in Typescript end-to-end). We’re looking for experienced engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Work closely with founders and design to implement new concepts and ideas - Build AI-powered functionality into the core of Linear - Update our realtime collaborative content editor used across all internal surfaces - Build new user-facing features with beautiful and scalable UI components - Obsessively improve application performance - Refine our software development processes to keep the team operating at high velocity What we're looking for - 5+ years of experience building customer-facing products at a high-quality software company - Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL) - Track record of driving complex, end-to-end features (not just incremental improvements and refactors) with visible impact on the product - Product sensibility: you care about UX, speed, and polish, and you push back when something doesn't feel right - Comfortable working without heavy PM overhead; you can help to shape the problem, not just implement a solution - High ownership mentality: self-directed, full-lifecycle builder who takes a feature from idea to shipped - Thrives in a remote, async-first environment with a lean, high-output team - Experience at a startup or a company with a genuinely high engineering bar Our tech This stack reflects the systems we build and operate. You’re not expected to have experience with everything listed, but you should be excited to work close to product, performance, and real-world scale. - Agentic workload system utilizing temporal, operating at production scale - Proprietary websocket data sync framework built for speed and offline support - React, MobX, styled-components on the frontend - Extensive, widely used, GraphQL API and SDK - Node, Postgres, Temporal, and Redis in the backend - Hosted on Google Cloud with k8s - GitHub, Slack, Notion What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - Read Me https://linear.app/readme a story about our mission - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran needs an engineer-architect who can make the AI analyst experience real, dependable, and extensible. This role owns the architecture behind the analyst AI system, including metadata contracts, tool interfaces, context assembly, prompt and skill orchestration, evaluation loops, and the operational patterns that make agents useful in real workflows instead of isolated demos. This is a systems role as much as an AI role. The challenge is not just getting an LLM to do something impressive once. The challenge is building a product-quality analyst system that can reason over schema and business context, use tools correctly, recover from ambiguity, and improve through disciplined evaluation and iteration. This is a full-time, hybrid position based at our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You'll Do Define the architecture for the analyst AI stack across prompts, tools, metadata, memory and context strategies, evaluation, and runtime safety. Build the abstractions and interfaces that allow product teams to add new agent capabilities without creating brittle prompt sprawl. Design retrieval and context strategies that give the model the right information at the right time with strong cost, latency, and quality tradeoffs. Establish evaluation loops, benchmark suites, and review processes so model behavior can be measured, debugged, and improved systematically. Partner with product, engineering, and analyst-domain experts to translate real analytical workflows into robust AI-assisted product capabilities. Drive quality standards around correctness, trust, transparency, and failure handling in analyst-facing AI experiences. What We're Looking For Deep experience building AI-enabled product systems, not just running experiments. Strong software architecture skills, especially around APIs, contracts, orchestration, and system boundaries. Practical understanding of LLM prompting, tool use, retrieval, structured outputs, and evaluation methods. Ability to work fluently across backend engineering, product constraints, and user workflow design. Clear judgment about where agent systems should be flexible and where they should be constrained. Comfort working in ambiguous environments where patterns are still being invented. Why This Role Matters The quality of the AI analyst experience will shape how differentiated Fivetran feels. This role determines whether the system is merely novel or actually reliable enough to become part of an analyst's day-to-day workflow. Strong architecture here reduces product risk and creates leverage for the rest of the team. #LI-HYBRID #LI-DJ1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $251,835 — $314,794 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are looking for a Principal AI Engineer to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases. This is a hands-on technical role focused on building intelligent, autonomous chatbot systems operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms. What You’ll Be Doing Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases. Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization. Design multi-level intent routing, classifier training, and fallback strategies. Building dialogue quality evaluation systems. Drive automated bad-case discovery, A/B testing, and continuous iteration loops. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, or related field with at least 10 years of industry experience . Deep understanding of the engineering complexity behind industrial dialogue systems, including orchestration layers, intent classification, policy control, and fallback strategies. Proven experience deploying large-scale conversational products (To Business or To Consumer) in production environments. Hands-on experience designing multi-tier intent routing and training classifiers for high-accuracy task allocation. Experience building structured dialogue evaluation frameworks (automatic metrics, LLM-as-judge, human review systems, etc.). Strong experience driving automated bad-case discovery, logging systems, experiment design, and A/B testing frameworks. Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed OKX Statement The salary range for this position is $250,444.00 to $375,666.00. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID#LI-HYBRID #LI-ED1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are seeking a Principal Engineer with a deep expertise in autonomous AI agent architecture and deployment, to spearhead the design, development, and optimization of intelligent agent systems on our global crypto exchange platform. This is a senior role requiring a hands-on AI science background combined with strategic oversight, technical direction, and cross-functional collaboration. You will work at the cutting edge of AI and crypto, designing AI agents that can autonomously reason, act, and evolve in complex, real-time environments such as trading, security, compliance, and customer interaction. What You’ll Be Doing Lead the design, development, and lifecycle management of autonomous AI agents tailored to crypto exchange operations (e.g., customer assistant, trading bots, risk detection agents, fraud prevention agents, etc.). Architect multi-agent systems (MAS) and frameworks to support goal-directed, reasoning, planning, and reinforcement-learning-based agents. Collaborate with product, engineering, business, and operation teams to define agent roles and measurable KPIs. Drive experimentation, simulations, and continuous learning pipelines for agent performance optimization. Stay ahead of the curve on developments in AGI, LLM-integrated agents, and cognitive architectures; apply relevant innovations to production systems. Mentor and lead a team of AI scientists and engineers; help define the AI roadmap and research strategy. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You 10+ years of industry experience in a relevant field, or an equivalent combination of advanced degree (PhD/Master's in Computer Science, AI, Machine Learning, Robotics, or related field) and industry experience. Proven experience building and deploying autonomous AI agents in live environments. Ideal candidates will have: Designed multi-agent frameworks or agent ecosystems (e.g., AutoGPT, OpenAgents, LangGraph, LangFuse, Dify, Coze, etc.). Experience with goal-oriented agents, context engineering, memory management, tool use, and RL-based decision making. Developed agents for real-time decision-making, such as trading, gaming, customer support, or operations. Track record of delivering end-to-end AI systems in fast-paced, high-scale environments (preferably finance, crypto, or high-frequency domains). Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed OKX Statement The salary range for this position is $250,444.00 to $375,666.00 . The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Okcoin and OKX internal or external careers site. OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-HYBRID#LI-HYBRID #LI-ED1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR About the Role We are looking for a highly capable Senior Strategy PMO / Project Manager to join our CEO Office / Strategy PMO team. This role goes beyond traditional project management — you will operate at the intersection of strategy, execution, and organizational scaling , partnering closely with senior leadership to drive high-impact, cross-functional initiatives across the company. This is a high-exposure role suited for candidates who thrive in fast-paced environments and are comfortable navigating ambiguity, complexity, and executive-level expectations. Responsibilities Drive end-to-end planning and execution of company-level strategic initiatives, spanning product, engineering, risk, growth, and operational transformation. Partner with senior leadership to translate high-level strategies into executable roadmaps and delivery mechanisms. Establish and continuously refine project governance frameworks to improve execution efficiency, visibility, and accountability across teams. Identify cross-team bottlenecks and systemic inefficiencies, and drive structural solutions rather than one-off fixes. Lead high-complexity, cross-functional programs (e.g., trading systems, risk infrastructure, growth platforms, or platform-level transformations). Support and accelerate company-wide AI transformation initiatives, including: Driving AI adoption across product and operational workflows Coordinating cross-functional AI pilots and scaling best practices Building execution frameworks for AI-enabled delivery models Provide clear executive-level updates on progress, risks, and trade-offs, enabling fast and informed decision-making. Act as a force multiplier for leadership by driving alignment, execution clarity, and organizational velocity. Requirements 5–10 years of experience in strategy PMO, program management, or high-impact project delivery roles. Strong experience driving complex, cross-functional initiatives in fast-paced environments such as: Top-tier internet companies Global tech companies or scale-ups Fintech, trading, or platform-heavy organizations Proven track record of delivering technically complex programs (e.g., trading systems, risk controls, user safety, growth platforms, infra-heavy initiatives). Strong systems thinking — able to identify root causes and design scalable solutions. Excellent execution skills with a bias toward action and outcomes. Strong communication and stakeholder management skills, including experience working with senior executives. High ownership mindset with the ability to operate independently in ambiguous environments. Preferred Qualifications Background in technically intensive domains such as: Trading infrastructure or financial systems User risk control systems or user growth Platform architecture Experience in crypto, fintech, or global-scale platforms. Experience driving AI adoption in product, engineering, QA, or operational workflows. Bilingual (English + Mandarin) to collaborate effectively across global teams. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore About the Role We are looking for a highly capable Senior Strategy PMO / Project Manager to join our CEO Office / Intelligence & Performance (IP) team . This role goes beyond traditional project management — you will operate at the intersection of strategy, execution, and organizational scaling , partnering closely with senior leadership to drive high-impact, cross-functional initiatives spanning growth, platform risk, and trading product experience . This is a high-exposure, high-intensity role suited for candidates who are genuinely hungry to build something meaningful — comfortable navigating ambiguity, complexity, and executive-level expectations, and willing to fight for outcomes rather than just manage process. Responsibilities Drive end-to-end planning and execution of company-level strategic initiatives, spanning growth, platform risk, trading product experience , and organizational transformation. Own the health and evolution of core trading/platform experience — identifying friction points across the user trading journey and driving cross-functional fixes at the root-cause level, not surface patches. Partner with senior leadership to translate high-level strategy into executable roadmaps and delivery mechanisms. Establish and continuously refine project governance frameworks to improve execution efficiency, visibility, and accountability across teams. Identify cross-team bottlenecks and systemic risk/inefficiency, and drive structural solutions rather than one-off fixes. Lead high-complexity, cross-functional programs (e.g., growth platforms, platform risk controls, trading systems, or platform-level transformations). Support and accelerate company-wide AI transformation initiatives, including: Driving AI adoption across product and operational workflows Coordinating cross-functional AI pilots and scaling best practices Building execution frameworks for AI-enabled delivery models Provide clear executive-level updates on progress, risks, and trade-offs, enabling fast and informed decision-making. Act as a force multiplier for leadership by driving alignment, execution clarity, and organizational velocity. Requirements 5–10 years of experience in strategy PMO, program management, or high-impact project/product delivery roles. Genuinely aggressive and entrepreneurial — someone who wants to build something real, is willing to grind through ambiguity, and treats this as a mission rather than a job. Strong independent thinking and critical reasoning — able to question assumptions, challenge existing frameworks constructively, and form your own point of view rather than just execute. Strong data analysis capability — comfortable working with SQL/data queries and dashboards independently, able to translate ambiguous business questions into structured analysis and defend conclusions with data, not just process narrative. Strong experience driving complex, cross-functional initiatives in fast-paced environments such as: Top-tier management consulting firms Top-tier internet companies (ToC product management background welcome) Global investment banks Fintech, trading, or platform-heavy organizations Proven track record of delivering technically or operationally complex programs (e.g., growth platforms, trading systems, platform risk controls, user safety/experience, infra-heavy initiatives). Strong systems thinking — able to identify root causes and design scalable solutions. Excellent execution skills with a strong bias toward action and outcomes. Strong communication and stakeholder management skills, including experience working with senior executives. High ownership mindset with the ability to operate independently in ambiguous environments. Preferred Qualifications Background in technically or commercially intensive domains such as: Growth / user acquisition platforms Platform risk control systems Trading infrastructure or trading product experience Prior experience as a ToC product manager at a leading internet company, or as a strategy/management consultant at a top-tier firm, or in investment banking (M&A, coverage, or strategy roles). Experience in crypto, fintech, or global-scale consumer platforms. Experience driving AI adoption in product, engineering, QA, or operational workflows. Bilingual (English + Mandarin) to collaborate effectively across global teams. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking an AI Infrastructure Engineer to design and build the foundational systems that power next-generation AI agents. This role sits at the intersection of research and production engineering, focusing on scalable long-term memory , knowledge graph infrastructure , and robust context management systems . You will transform cutting-edge research concepts (e.g., Context Graphs, GraphRAG, agent memory architectures) into auditable, maintainable, and production-grade infrastructure that enables reliable, stateful AI systems. What You’ll Be Doing Architect and implement long-term memory infrastructure for AI agents , including auditable, versioned, and rollback-capable middleware that supports persistent, stateful reasoning. Design and own end-to-end GraphRAG and knowledge graph pipelines , from ingestion and schema design to graph indexing, retrieval optimization, and integration with LLM-based reasoning systems. Build scalable context management infrastructure , elevating context from prompt-level techniques to structured, maintainable systems such as Context Graphs that enable long-horizon and cross-session reasoning. Translate advanced agent research into production-grade systems , prototyping emerging architectures and establishing best practices for memory, retrieval, and infrastructure reliability. Ensure reliability, observability, and governance of agent infrastructure , including traceable memory operations, evaluation frameworks, and safeguards against drift and degradation. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, Robotics or related field with at least 10 years of industry experience . Possess a deep expertise in at least one of the following areas: long-term memory , knowledge graphs , or context management . Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are looking for a Principal AI Engineer to lead the architecture and deployment of large-scale, LLM-powered conversational Chatbot systems serving both enterprise and consumer use cases. This is a hands-on technical role focused on building intelligent, autonomous chatbot systems operating in real-time crypto environments. You will define the technical vision and own end-to-end delivery of production-grade conversational AI platforms. What You’ll Be Doing Lead the design, development, and lifecycle management for conversational Chatbots products for enterprise and consumer use cases. Drive experimentation, simulations, and continuous learning pipelines for Chatbot performance optimization. Design multi-level intent routing, classifier training, and fallback strategies. Building dialogue quality evaluation systems. Drive automated bad-case discovery, A/B testing, and continuous iteration loops. Ensure system scalability, security, and regulatory compliance of AI-powered solutions in the crypto exchange domain. What We Look For In You PhD or Master's in Computer Science, AI, Machine Learning, or related field with at least 10 years of industry experience . Deep understanding of the engineering complexity behind industrial dialogue systems, including orchestration layers, intent classification, policy control, and fallback strategies. Proven experience deploying large-scale conversational products (To Business or To Consumer) in production environments. Hands-on experience designing multi-tier intent routing and training classifiers for high-accuracy task allocation. Experience building structured dialogue evaluation frameworks (automatic metrics, LLM-as-judge, human review systems, etc.). Strong experience driving automated bad-case discovery, logging systems, experiment design, and A/B testing frameworks. Nice to Haves Experience in top-tier AI labs or Tech industry leaders Experience in high-frequency trading, fintech, Web3, or crypto platforms is a strong advantage Startups or research-intensive environments preferred; must be comfortable operating with ambiguity and speed Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As the Engineering Manager for Observability, you'll lead the team building the systems that show Figma how its platform and its AI products actually behave in production. That spans our core observability stack, meaning metrics, logs, and distributed tracing, as well as a fast-growing new frontier: the AI observability pipeline that turns traces, conversations, and model outputs into the classification and evals that make Figma's AI features measurably better. You'll set strategy across both, raise the bar on instrumentation and data quality, and push into AI-driven approaches to anomaly detection and operational automation. Observability was an unowned space at Figma until recently, so this is a rare chance to shape an early-stage, high-leverage platform that every engineering team here depends on. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Lead and grow a 6 engineer team responsible for the reliability, scalability, and evolution of Figma's observability and AI observability platforms. Own and evolve the AI observability ecosystem: a privacy-safe telemetry pipeline that aggregates trace, conversation, and model data, runs classification, and lets teams run evals to measure and improve AI feature quality. Own Figma's core observability stack, including platforms like Datadog, ensuring high availability, strong data quality, and a healthy signal-to-noise ratio across metrics, logs, and traces. Set the technical strategy for the instrumentation standards, libraries, agents, and operators that monitor services across the company. Explore and ship AI-driven approaches to anomaly detection, root cause analysis, signal correlation, and operational automation. Partner across infrastructure, product engineering, finance, and security to give teams clear visibility into system health at scale, including cost efficiency as the team's scope grows. Coach and develop engineers through career growth, feedback, and technical leadership, building a culture of ownership and high-quality execution. We'd love to hear from you if you have: 4+ years of experience leading and growing engineering teams in infrastructure, observability, platform, or AI systems, with a track record of delivering reliable production systems at scale. A strong foundation in distributed systems and a platform mindset: you build systems other teams adopt and rely on, not just for your own team. Hands-on depth in observability, AI systems telemetry, or both, whether that means metrics, logs, and distributed tracing, or the traces, classification, and evals that power AI products. Fluency with the modern tooling in your area, such as Datadog, OpenTelemetry, and Prometheus, or LLM tracing, prompt and model versioning, and eval workflows. A high operational bar (instrumentation and data quality, SLO design, incident response) and the ability to set technical direction and drive cross-functional alignment in complex environments. While not required, it’s an added plus if you also have: Breadth across both classic observability and AI observability, or the curiosity to grow into whichever is newer to you. Experience creating AI Telemetry-assisted improvement feedback loops for services, in particular for AI products and features. Experience improving infrastructure efficiency, including cost attribution, forecasting, vendor negotiation, and usage modeling. A track record designing company-wide observability standards, shared libraries, and agent or operator-based integrations. Experience applying AI or machine learning to anomaly detection, root cause analysis, or operational automation. Experience scaling and mentoring high-performing teams through platform expansion or major architectural change. At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE We're growing our Applied AI team to dramatically increase productivity across Engineering, Sales, Support, and Operations, and to ship AI-powered products that customers rely on directly. As an Applied AI Engineer, you'll design and ship production AI systems that change how WorkOS builds, sells, supports, and scales. You’ll also be building things that WorkOS customers use, and systems that the entire company depends on daily. You'll work on a small, high-ownership team that: - Chooses problems based on measurable impact - Moves from idea → prototype → production in days or weeks - Ships at both layers: internal leverage and customer-facing product - Adapts quickly as models, tools, and best practices evolve This is a 0→1 role with company-wide visibility. What you'll do - Design and ship customer-facing AI products like ask.workos.com http://ask.workos.com, AI support bots embedded in customer Slack channels, and new surfaces we haven't built yet - Build internal tools that become part of people's daily work: agents, automations, and workflows that are stable, observable, and easy to maintain - Work on big bets: a unified bot framework, a sandboxed coding harness agent, and infrastructure that lets the entire company ship - Use LLMs, embeddings, retrieval, and tool-calling to plug into docs, Slack, GitHub, CRM, analytics, support systems, and internal services - Replace repetitive, multi-step manual processes with orchestrated, AI-driven flows that span multiple apps and data sources - Stay current on new models and tooling, run focused experiments, and help the team converge on patterns, libraries, and infrastructure that compound over time Example problems you might work on - A sandboxed coding harness that can safely take a bug report or feature spec all the way to a deployed change - A unified bot framework that powers every AI touchpoint, internal and customer-facing from a single, observable backbone - A GTM intelligence layer that gives reps live account context, meeting prep, and follow-up from CRM, product usage, and conversation history - Turning noisy, cross-tool workflows (tickets, Slack threads, docs) into a single agent that handles triage, routing, and suggested actions - Infrastructure that lets any WorkOS team ship a reliable internal AI app without reinventing the stack What we're looking for - You've taken AI-powered systems from idea to production and through at least one iteration cycle with real users - Strong engineering fundamentals. You're comfortable owning services, data flows, and integrations end-to-end - Experience building with LLM APIs - You think about failure modes, observability, and ownership, not just whether the demo works - Bias toward action. You care less about the model and more about removing real bottlenecks, saving hours, or unlocking workflows the company couldn't do before - Comfort with ambiguity and fast change. The problem, the tools, and the "right" patterns are all evolving, you're excited to help define them Nice to have - Prior work on customer-facing AI products - Experience with embeddings, retrieval/RAG architectures, and structured tool-calling or agents - Exposure to MCP or similar protocols for connecting AI agents to real systems Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Remote, AMER Workplace: Remote Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re looking for a Senior Postgres Engineer to join our Postgres Team and help maintain and expand the stability and functionality of our hosted Postgres offering . You’ll work closely with customers, partners, product, engineering, support and success, helping us maintain a secure, stable, performant, and functional Postgres foundation. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. This role also requires strong working overlap with Americas time zones due to production support and on-call responsibilities. WHAT YOU'LL OWN: - Build and maintain PostgreSQL extensions in C and Rust, with a deep understanding of internals — parser, planner, WAL mechanics, and MVCC - Diagnose and resolve issues in managed PostgreSQL deployments, including custom extension failures, core dump analysis, and performance bottlenecks - Own idempotent deployment pipelines across thousands of running PostgreSQL instances, including testing and rollout strategies - Manage complex extension ecosystems — compatibility, upgrade paths, and conflict resolution - Work with PostgreSQL's background worker framework, shared memory management, and hook system to build reliable, scalable functionality - Collaborate closely with customers, partners, product, engineering, support, and success teams to maintain a secure, stable, and performant Postgres foundation WHAT YOU BRING: - Deep expertise in PostgreSQL internals - query planner, executor, and storage engine mechanics - Proven experience building PostgreSQL extensions in both C and Rust - Strong knowledge of PostgreSQL's permission model: RLS, roles, and grant systems - Experience troubleshooting production issues in managed PostgreSQL environments, including custom extension issues, performance bottlenecks, and resource contention - Comfortable building, testing, and owning idempotent deployments across thousands of running Postgres instances - Ability to read and navigate PostgreSQL source code confidently - Experience with multi-tenant database architectures - Experience running PostgreSQL at scale WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Solutions Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering. RESPONSIBILITIES - Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments, including: - Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, Voice AI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. - Driving consistent “playbook” style deployments for common models and use cases. - Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them - Drive POC and project execution, including: - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps. - Acting as the “ringleader” or project manager for POCs. - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. - Technical depth to scope solutions, without needing to write production code. - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE - Experience running or supporting benchmarks for ML inference deployments. - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations. Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed. In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts. RESPONSIBILITIES - Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency. - Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models. - Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models. - Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency. - Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors. - Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer. REQUIREMENTS - You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement. - You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it. - You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues. - You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs. NICE TO HAVE - Deep knowledge of NCCL, NVSHMEM, and UCX. - Experience with Rust for systems-level or performance-critical networking code is a strong plus - Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS. - Familiarity with TensorRT-LLM, vLLM, or SGLang. - Experience running low-level benchmarks to "qualify" new hardware clusters. THE TEAM - Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks. - We go deep: We operate at every depth. Whether it’s tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond. - High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Home based - EMEA Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring an Engineering Director , who strives for taking ownership of the development and operations of internal software products serving Canonical business and a popular security solution Livepatch. A successful candidate has a track record of delivering full-stack software services, adheres to high engineering quality standards, and continuously develops their skills as well as skills of their direct reports. This is an exciting opportunity to work with highly enthusiastic people on exciting innovative engineering solutions supporting Canonical's growth and learn a lot about engineering for the business. The engineering director will lead the Commercial Systems unit that is conceived as three engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business. We are looking for a software engineering director to oversee the three software teams led by software engineering managers. The Billing team designs, develops, and operates a Golang service that provides a standardized and scalable capability to turn metrics into billable amounts, enable customers to see their current spend with Canonical at any time, and ensure accurate, reliable, and timely billing. The service further integrates with other engineering, business and payment systems. The Contracts team designs, develops, and operates a Golang service that will become the single source of truth for all contracts with all customers. The service provides a standardized CPQ capability and stores signed contracts in a structured format. The service further integrates with other engineering and business systems including a CRM system and an accounting system. The Livepatch team designs and develops a service for the delivery of Linux kernel patches to shrink the exploit window for critical and high severity Linux kernel vulnerabilities, by patching the Linux kernel between security maintenance windows, while the system runs. The engineering team behind this product develops Golang based client and backend components, while another Canonical team, the Kernel team, develops the security patches. Location : This role will be based remotely in the EMEA region. The role entails Leading multiple teams of engineers, ranging from graduates to seniors Developing your engineering managers to maintain Canonical culture in their teams Developing and evangelize great engineering practices and processes in the teams Setting and implementing solid performance management with performance goals and objectives with your direct reports and teams Identifying and measuring indicators of team health, and take action where needed Being accountable for the product development roadmaps in the teams Being an active part of the Commercial Systems leadership team, collaborating with other leaders Expanding your teams by hiring great talent Collaborating with stakeholders and product users What we are looking for in you Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Proven ability to drive multiple teams or large teams of software engineers to deliver outstanding results Engineering experience in at least one of the following areas: Golang, Python, Java, or distributed integrations Track record of going above-and-beyond expectations to achieve outstanding results Professional written and spoken English with excellent presentation skills Result-oriented, with a personal drive to meet commitments Ability to travel internationally twice a year, for company events up to two weeks long Nice-to-have skills Performance engineering and DevOps/SRE experience Experience with accounting, sales, sales operations, or other business roles What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Home based - EMEA Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring an Engineering Director , who strives for taking ownership of the development and operations of internal business systems integrations, a full data mesh solution built on top of leading open-source software, and the configuration of Salesforce, NetSuite, and other internal business systems. A successful candidate has a track record of leading the configuration, development and integrations of business systems, such as Salesforce or NetSuite, and data engineering/governance solutions. Such a candidate adheres to high engineering quality standards, and continuously develops their skills as well as skills of their direct reports. This is an exciting opportunity to work with highly enthusiastic people on exciting innovative engineering solutions supporting Canonical's growth and learn a lot about engineering for the business. The engineering director will lead the Business Data unit that is conceived as three engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business and data analytics and reporting. We are looking for a software engineering director to oversee the three software teams led by software engineering managers. The Business Systems team is responsible for systems such as NetSuite, Salesforce, and several others. The engineers work closely with operations teams, implement business processes, and keep the systems compliant, while delivering first class experience to Canonical employees using those systems to get their job done. The Data Lake team is responsible for building a comprehensive data mesh solution with a secure and well-governed access to data sets originating at many internal and external data sources . The team works with well-known open-source tools such as Trino, Ranger, and Superset, and develops tooling facilitating data governance processes. The Integrations team is responsible for the integrations between internal and external systems used at Canonical and onboarding of new data sources to the data mesh. The team designs, develops, and operates Python workflows leveraging an open-source workflow orchestration engine Temporal. The team also integrates internal and external data sources into the data mesh using open-source ETL solution Airbyte, enabling more data driven decisions in the organization. Location : This role will be based remotely in the EMEA region. The role entails Leading multiple teams of engineers, ranging from graduates to seniors Developing your engineering managers to maintain Canonical culture in their teams Developing and evangelize great engineering practices and processes in the teams Setting and implementing solid performance management with performance goals and objectives with your direct reports and teams Identifying and measuring indicators of team health, and take action where needed Being accountable for the product development roadmaps in the teams Being an active part of the Commercial Systems leadership team, collaborating with other leaders Expanding your teams by hiring great talent Collaborating with stakeholders and product users What we are looking for in you Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Proven ability to drive multiple teams or large teams of software engineers to deliver outstanding results Engineering experience in at least one of the following areas: CRM/ERP systems, Python, data engineering/governance, or distributed integrations Track record of going above-and-beyond expectations to achieve outstanding results Professional written and spoken English with excellent presentation skills Result-oriented, with a personal drive to meet commitments Ability to travel internationally twice a year, for company events up to two weeks long Nice-to-have skills Performance engineering and DevOps/SRE experience Experience with compliance What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE: We're seeking an Engineering Manager, UX to help build the future of AI user interfaces. In this role, you'll build and manage a team that bridges design and engineering to create intuitive, performant user interfaces that make software creation accessible on any device. You'll guide your team in building production-ready frameworks and patterns that enable high-quality in-product experiences. You’ll also help your team build core user interfaces for interacting with AI. YOU WILL: - Build, mentor, and grow a team of frontend engineers, reenforcing Replit’s culture of UI excellence and craft. - Define the technical vision and strategy for building/extending user interface frameworks in order to help Replit ship high quality user experiences fast. - Engage design and product engineering teams to understand, triage, and prioritize requirements. - Set an ambitious vision for the future of AI user interfaces, and help the team sequence the steps to make it a reality. - Help the Design team tastefully refine designs by taking into account technical constraints, timelines and resources. - Use your deep understanding of technology, the product, and UI, to increase the quality, performance and usage of Replit’s most important surfaces. REQUIRED SKILLS AND EXPERIENCE: - 4+ years of engineering management experience with a track record of building and scaling high-performing teams. Proven experience delivering ambitious projects that require coordinating across multiple teams / departments. - Deep technical experience in many of the following: React, CSS, CSS frameworks, mobile web, Figma. - Excellent communication skills to balance technical leadership with people management, including mentoring, performance management, and career development. - Obsession with the user experience. - Great recruiting experience in building talent dense teams. - Adaptability to be ready and able to lead through changing needed requirements. BONUS QUALIFICATIONS: - Active Replit user. - Experience building products that use AI. - Background or experience in Design. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: San Francisco; Stockholm; New York; London Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal is hiring a high-impact Solutions Architect to drive technical strategy across our most strategic enterprise accounts. You will operate as the executive technical counterpart to Enterprise Account Executives, leading complex evaluations, shaping infrastructure modernization roadmaps, and driving multi-product adoption across AI/ML workloads. This role is not demo support. It is a strategic, consultative position requiring strong architectural depth, executive presence, and the ability to influence 7–8 figure infrastructure decisions. You will work directly with CTOs, VPs of Engineering, and ML platform leaders to help them rethink how AI infrastructure should be built and operated. If you thrive in high-velocity technical sales environments and want to shape the infrastructure layer powering modern AI companies, this role is for you. WHAT YOU’LL DO: - Own the technical strategy for large, complex enterprise accounts - Partner with Enterprise Account Executives to drive 6–7+ figure opportunities from qualification through close - Lead deep technical discovery across platform, ML, DevOps, and infrastructure stakeholders - Architect end-to-end migration strategies from AWS, GCP, or Azure to Modal’s serverless infrastructure - Drive executive-level technical conversations that connect infrastructure architecture to business impact (velocity, cost efficiency, reliability) - Design and oversee proof-of-concepts that demonstrate production-grade scalability and performance - Navigate security reviews, compliance discussions, and procurement processes with confidence - Build durable relationships with technical champions and executive sponsors - Orchestrate cross-functional virtual account teams (Sales, Product, Engineering, Support) to ensure successful adoption - Influence Modal’s product roadmap by surfacing structured enterprise feedback - Mentor other Solutions Architects and contribute to technical best practices across the team REQUIREMENTS: - 5+ years in Solutions Engineering, Sales Engineering, or enterprise-facing technical roles in infrastructure, cloud, or developer platforms - Demonstrated success driving complex enterprise sales cycles ($250K+ ACV; experience with $1M+ ARR accounts strongly preferred) - Experience working with large, sophisticated Bay Area technology companies or global enterprises - Deep expertise in cloud infrastructure (AWS, GCP, Azure) including compute, networking, storage, and managed services - Strong architectural understanding of containers and orchestration (Docker, Kubernetes) - Experience designing distributed systems and production data platforms - Strong working knowledge of ML/AI infrastructure (training pipelines, inference systems, GPU workloads, MLOps) - Experience leading cloud migration or infrastructure modernization initiatives - Familiarity with Infrastructure as Code (Terraform, Pulumi, CloudFormation) and CI/CD systems - Production programming experience in Python strongly preferred - Executive-level communication skills with the ability to influence technical and business stakeholders - Proven ability to lead cross-functional virtual teams in high-stakes account environments - Strong business acumen and understanding of enterprise procurement and buying processes - Willingness to travel up to 30%